Multi-View Non-negative Matrix Factorization Discriminant Learning via Cross Entropy Loss.
CoRR, 2022
Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity.
CoRR, 2022
Partially latent factors based multi-view subspace learning.
Comput. Intell., 2022
GMM discriminant analysis with noisy label for each class.
Neural Comput. Appl., 2021
Partially disentangled latent relations for multi-label deep learning.
Neural Comput. Appl., 2021
Attentive multi-view deep subspace clustering net.
Neurocomputing, 2021
Online deep learning based on auto-encoder.
Appl. Intell., 2021
Multi-view subspace clustering with consistent and view-specific latent factors and coefficient matrices.
Proceedings of the International Joint Conference on Neural Networks, 2021
Multi-view representation learning in multi-task scene.
Neural Comput. Appl., 2020
Multi-view Subspace Adaptive Learning via Autoencoder and Attention.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Captured multi-label relations via joint deep supervised autoencoder.
Appl. Soft Comput., 2019
Auto-encoder Based Co-training Multi-view Representation Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
FSC-CapsNet: Fractionally-Strided Convolutional Capsule Network for complex data.
Proceedings of the International Joint Conference on Neural Networks, 2019
DDRM-CapsNet: Capsule Network Based on Deep Dynamic Routing Mechanism for Complex Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019
Multi-View Capsule Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019
Rank Pruning Approach for Noisy Multi-label Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Affine Transformation Capsule Net.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018